Machine Learning Engineer, Monetization Engineering
Pinterest · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Posted about 2 months ago
or apply directly on Pinterest's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 66 days Pinterest's roles stay open a median of 66 days
- Reposted
- No
- Salary listed
- No 0% of Pinterest's roles list one
- Ghost-job risk at Pinterest
- high 160 stale, 10 reposted of 190 open
- Hiring momentum
- 330 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from Pinterest's own greenhouse board since 2026-08-03. Full hiring picture for Pinterest.
About this role
As a Machine Learning Engineer in the Monetization Engineering team at Pinterest, you will develop and execute a vision for the machine learning technology stack within Ads. Your role involves building cutting-edge technology using deep learning and machine learning to personalize user experiences, collaborating with various teams to enhance ML models, and leveraging data-driven methods to improve candidate retrieval. You will also stay updated on industry trends and utilize large language models to enhance content understanding.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pinterest as an employer.
What you need
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
Nice to have
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
What you get
- Base salary range of $163,418 — $285,982 USD
- Eligible for equity
Worth weighing
- No relocation assistance offered
- US based applicants only
- Final salary based on factors including location, travel, relevant prior experience, or particular skills and expertise
Summarised from Pinterest's posting. Read the full original.
Listed by Pinterest on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
More roles at Pinterest
- Sr. Client Partner [12-Month Fixed Term] Beauty, Health and HouseholdHamburg, DE
- Sr. Data Scientist, MarketingSan Francisco, CA, US; Remote, US
- Engineering Manager II, Media RenderingSan Francisco, CA, US; Remote, US
- Principal Engineer, Shopping & Delivery InfraSan Francisco, CA, US; Palo Alto, CA, US; Seattle, WA,US
- Partner Development LeadNew York, NY, US; Remote, NY, US
- Lead Industry Manager (Scaled) - Greater China RegionSingapore, SG
- Sr. Staff Software Engineer, MerchantsSan Francisco, CA, US; Palo Alto, CA, US
- Client Account Manager, Retail Enterprise Sales (Dutch Speaking)Dublin, IE